Data Scientist

Conduct research on market trends, historical data, and user preferences to enhance Ensa recommendation capabilities.
Utilize natural language processing techniques to improve Ensa conversational abilities and information synthesis.
Collaborate with the development team to enhance Ensa capabilities in understanding and responding to user queries effectively.
Work on MLOPS to deploy and maintain machine learning models in a production environment.
Stay updated with the latest advancements in AI, NLP, and quantitative trading.
Develop and implement machine learning models for analyzing market data and providing insights to users.
Continuously optimize AI performance based on user feedback and market dynamics.

Advanced proficiency in Machine Learning techniques and algorithms, including hands- on experience in model development and deployment. • Experience with Large language models is advantageous.
Strong problem- solving skills with a focus on product development (mandatory).
Proficiency in quantitative analysis and statistical modeling to extract actionable insights from complex datasets is a plus.
Robust programming skills in Python, TensorFlow or PyTorch.
Experience in building recommendation systems is a plus.
Strong problem- solving abilities and a keen interest in uncovering patterns and insights within data.
A drive to continuously learn and master new technologies and methodologies (mandatory).

Benefit:

Top notch engineering team.
Competitive salary with regular review and advancement.
Small, young and close- knit team. We move fast, work hard and play hard.
Fastest growing fintech startup with state- of- the- arts technology.
Opportunity to take charge of your own works and directly contribute to company products.

Chế độ bảo hiểm, Du Lịch, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương

Cập nhật gần nhất lúc: 2024-06-05 16:40:03